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Yuesong Shen
PhD StudentTechnical University of MunichSchool of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17790
Fax: +49-89-289-17757
Office: 02.09.039
Mail: yuesong [dot] shen [at] in [dot] tum [dot] de
Research Interests
Graphical models, (Bayesian) deep learning, machine learning, and how to apply them in computer vision.
Master thesis / IDP / Guided research ...
Are you looking for a cool master thesis / IDP / guided research / bachlor thesis? Are you interested in machine learning / deep learning beyond stacking layers and tuning hyperparameters? You have come to the right place!
I am offering ML/DL projects related to Uncertainy estimation (Bayesian deep learning), new network designs, probabilistic graphical models, and more!
If you fulfill the following minimum requirements:
- Solid background in machine learning / deep learning (e.g. reasonably good grades for ML/DL courses);
- Practical Python programing skill and familiarity with
numpy
andpytorch
; - Reasonable math background (the math involved in ML lecture should not be hard for you);
and hopefully meet some of the following additional strong points:
- Practical ML/DL project experiences (research internships, past thesis/IDP/guided research, practical course …);
- Strong math background (proba/stat, optimization. differential geometry, etc);
- Good academic performance (e.g., fellow best.in.tum members);
- Other relevant strong points that make you stand out;
feel free to apply via the application form (you might also get additional offers from other members of the chair) and/or contact me personally to let me know your interests and project preferences.
(Due to the potential high demand, unfortunately I won't be able to reply to all emails. If you do not hear from me 2 weeks after your contact, you should assume that unfortunately I do not have any project at hand that suits your expertise.)